TATVA: A Reinforcement Learning Framework for Quantum Circuit Synthesis

arXiv:2610.00945 · quant-ph · Submitted 2026-10-01 · Read on arXiv

quant-ph

Submitted: 2026-10-01

Updated: 2026-10-01

Comments: 9 pages, 10 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Fidelity — 53× in this paper · explained in 2 episodes
Reinforcement Learning — 19× in this paper · explained in 4 episodes
Deep Reinforcement Learning — 4× in this paper · explained in 2 episodes
Proximal Policy Optimization — 4× in this paper
Actor — 3× in this paper · explained in 3 episodes
Deep Q-Network — 3× in this paper
Generalization — 3× in this paper · explained in 13 episodes
Reward Function — 3× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Proximal Policy Optimization (PPO) — 2× in this paper · explained in 5 episodes
Quantum Circuits — 2× in this paper · explained in 2 episodes
Quantum Machine Learning — 2× in this paper
Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Entanglement — 1× in this paper · explained in 3 episodes
Generalized Advantage Estimation — 1× in this paper
Hilbert Space — 1× in this paper · explained in 2 episodes
Stabilizer States — 1× in this paper · explained in 2 episodes
Trace — 1× in this paper · explained in 2 episodes
Variational Quantum Eigensolver (VQE) — 1× in this paper · explained in 5 episodes